Applied AI Engineer, Beneficial Deployments

<div class="content-intro"><h2><strong>About Anthropic</strong></h2> <p>Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</p></div><h2>About Beneficial Deployments</h2> <p>Beneficial Deployments ensures AI reaches and benefits the communities that need it most. We partner with nonprofits, foundations, and mission-driven organizations to deploy Claude in education, global health, economic mobility, and life sciences, focusing on raising the floor.</p> <h2>About the Role</h2> <p>We're looking for an Applied AI Engineer to join our Beneficial Deployments team. You’ll use your deep technical expertise to help partners accelerate their impact through advising on evals, hill-climbing on harnesses, prototyping new agents, etc. You will also work on building ecosystem-level tooling and infrastructure to scale impact beyond individual partnerships.</p> <h2>Responsibilities</h2> <ul> <li>Serve as a deep technical partner to mission-driven organizations through advising on evals, agent architectures, context engineering, cost optimization, and more</li> <li>Provide hands-on support to partner engineering teams through pair programming, prototyping, and code contributions that accelerate their development</li> <li>Develop public goods infrastructure that benefits entire ecosystems through benchmarks, MCP’s, and Agent Skills</li> <li>Identify challenges unique to social impact partners, and contribute findings and improvements back to product, engineering, and research</li> <li>Create technical presentations, demos, and scalable technical content (documentation, tutorials, sample code) to accelerate partner adoption and self-service</li> <li>Help shape team processes and culture as we scale from 1 to N</li> <li>Travel occasionally to customer sites for workshops, technical deep dives, and relationship building</li> </ul> <h2>You Might Be a Good Fit If You Have</h2> <ul> <li>4+ years as a Software Engineer, Forward Deployed Engineer, or technical founder</li> <li>Production experience building LLM-powered applications, including prompting, context engineering, agent architectures, evaluation frameworks, and deployment at scale</li> <li>Builder credibility that earns trust with technical founders and engineering teams—you've shipped products and can speak from experience</li> <li>Experience working in ed-tech, healthcare, scientific research, nonprofit, or other mission-driven organizations, understanding their unique challenges and constraints</li> <li>A love of teaching, mentoring, and helping others succeed</li> <li>A scrappy mentality–comfortable wearing multiple hats, building from scratch, driving clarity in ambiguous situations, and doing whatever it takes to further the mission</li> </ul><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p>The annual compensation range for this role is listed below.&nbsp;</p> <p>For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.</p></div><div class="title">Annual Salary:</div><div class="pay-range"><span>$280,000</span><span class="divider">&mdash;</span><span>$300,000 USD</span></div></div></div><div class="content-conclusion"><h2><strong>Logistics</strong></h2> <p><strong>Minimum education: </strong>Bachelor’s degree or an equivalent combination of education, training, and/or experience</p> <p><strong>Required field of study:&nbsp;</strong>A field relevant to the role as demonstrated through coursework, training, or professional experience</p> <p><strong>Minimum years of experience: </strong>Years of experience required will correlate with the internal job level requirements for the position</p> <p><strong>Location-based hybrid policy:</strong> Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.</p> <p><strong data-stringify-type="bold">Visa sponsorship:</strong>&nb